Year: 2024
Type: conference-paper
Abstract: Molecules require a certain relative orientation and proximity to react with each other, a concept that is often difficult for beginners to grasp. We present a virtual reality system designed to help users learn about chemistry reactions with hands-on manipulation and interaction with molecules in a simulated lab environment. Our system emphasizes intuitive molecular interactions over a full molecular dynamics simulation, minimizing erratic molecule motion and sensitivity, in order to help users better understand spatial requirements underlying chemistry reactions. The system uses a novel approach to mapping reagent and product molecules to facilitate reaction detection and animation. We propose to evaluate our system by training a machine learning classifier on motion features (head, hand, and eye) to estimate user understanding of chemistry reactions, thereby enabling adaptive system feedback, such as providing visual hints.
Authors: Adil Khokhar, David Michael Broussard, Christoph W Borst
Institution: University of Louisiana at Lafayette
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4402520814